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    New Robotics Findings from Imperial College London Published (Multi-Dimensional Evaluation of an Augmented Reality Head-Mounted Display User Interface for Contr olling Legged Manipulators)

    10-11页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on robotics are disc ussed in a new report. According to newsreporting from London, United Kingdom, by NewsRx journalists, research stated, “Controlling assistiverobots can be cha llenging for some users, especially those lacking relevant experience. Augmented Reality(AR) User Interfaces (UIs) have the potential to facilitate this task. Although extensive research regardinglegged manipulators exists, comparatively little is on their UIs.”

    Xidian University Reports Findings in Machine Learning (Prediction method of pha rmacokinetic parameters of small molecule drugs based on GCN network model)

    11-12页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to news report- ing originating in Shaanxi, Peopl e’s Republic of China, by NewsRx journalists, research stated, “Accuratelypredi cting plasma protein binding rate (PPBR) and oral bioavailability (OBA) helps to better reveal theabsorption and distribution of drugs in the human body and su bsequent drug design. Although machinelearning models have achieved good result s in prediction accuracy, they often suffer from insufficientaccuracy when deal ing with data with irregular topological structures.”

    Researchers at Yangzhou University Release New Data on Computational Intelligenc e (Convert Cross-domain Classification Into Few-shot Learning: a Unified Prompt- tuning Framework for Unsupervised Domain Adaptation)

    12-13页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on Machine Learning - Compu tational Intelligence are presented in a newreport. According to news reporting originating in Yangzhou, People’s Republic of China, by NewsRx journalists, res earch stated, “Unsupervised domain adaptation aims to facilitate learning tasks within anunlabeled target domain by leveraging labeled information from the sou rce domain. To address the domaindiscrepancy, the majority of existing methods focus on learning latent features in both the source and targetdomains.”

    Researchers at National University of Computer and Emerging Sciences Release New Data on Robotics (Phase-Based Adaptive Fractional LQR for Inverted-Pendulum-Typ e Robots: Formulation and Verification)

    13-14页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on robotics are disc ussed in a new report. According to newsreporting from Lahore, Pakistan, by New sRx journalists, research stated, “The underlying principles ofinverted pendulu ms are widely applied to develop stabilization control strategies for under-actu ated roboticsystems in various applications.”

    Zunyi Medical University Reports Findings in Machine Learning (Construction of I RAK4 inhibitor activity prediction model based on machine learning)

    14-15页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to newsreporting originating from Zunyi, Peopl e’s Republic of China, by NewsRx correspondents, research stated,“Interleukin-1 receptor-associated kinase 4 (IRAK4) is a crucial serine/threonine protein kina se that belongsto the IRAK family and plays a pivotal role in Toll-like recepto r (TLR) and Interleukin-1 receptor (IL-1R)signaling pathways. Due to IRAK4’s si gnificant role in immunity, inflammation, and malignancies, it hasbecome an int riguing target for discovering and developing potent small-molecule inhibitors.”

    Research Conducted at Xiamen University Has Updated Our Knowledge about Machine Learning (Remote Sensing Estimations of the Seawater Partial Pressure of Co2 Usi ng Sea Surface Roughness Derived From Synthetic Aperture Radar)

    15-16页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ma chine Learning. According to news reportingoriginating from Xiamen, People’s Re public of China, by NewsRx correspondents, research stated, “Remotesensing stud y of the carbon cycle in coastal marine systems using machine learning methods h as receivedsignificant attention recently. The partial pressure of carbon dioxi de (CO2) in seawater ( pCO(2w)) is acrucial parameter for quantifying the air-s ea carbon dioxide exchange.”

    New Findings in Machine Learning Described from Federal University Juiz De Fora (Addressing Uncertainty On Machine Learning Models for Long-period Fiber Grating Signal Conditioning Using Monte Carlo Method)

    16-17页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators discuss new findings in Machine Learning. According to news originatingfrom Juiz de Fora, Brazil, by Ne wsRx correspondents, research stated, “The massive adoption of machinelearning (ML) and artificial intelligence models in the field of instrumentation and meas urement has raisedseveral doubts concerning the validity of their response and the methodology for estimating their errors. Inthis study, we revisit ML models that were used to interrogate long-period fiber grating (LPFG) sensors.”

    Zhejiang Cancer Hospital Reports Findings in Artificial Intelligence (The clinic al value of artificial intelligence in assisting junior radiologists in thyroid ultrasound: a multicenter prospective study from real clinical practice)

    17-18页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Artificial Intelligenc e is the subject of a report. According to newsreporting from Hangzhou, People’ s Republic of China, by NewsRx journalists, research stated, “This studyis to p ropose a clinically applicable 2-echelon (2e) diagnostic criteria for the analys is of thyroid nodulessuch that low-risk nodules are screened off while only sus picious or indeterminate ones are further examinedby histopathology, and to exp lore whether artificial intelligence (AI) can provide precise assistance for clinical decision-making in the real-world prospective scenario. In this prospectiv e study, we enrolled 1036patients with a total of 2296 thyroid nodules from thr ee medical centers.”

    Researchers from East China University of Science and Technology Report Findings in Robotics (The Impact of Industrial Robots On Export Stability)

    18-19页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Current study results on Robotics have been published. According to news originatingfrom Shanghai, People’s Republic of China, by NewsRx correspondents, research stated, “The application ofindustr ial robots has emerged as a significant influencing factor on international trad e. Based on productexport stability data from 49 major exporting countries and corresponding industrial robot application databetween 2010 and 2019, this stud y investigates the impact and mechanisms of industrial robot applicationon expo rt stability in these countries.”

    New Machine Learning Study Findings Have Been Reported from Chulalongkorn Univer sity (Toward a more resilient Thailand: Developing a machine learning-powered fo rest fire warning system)

    19-20页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on artificial intelligence are presented in a new report. According to newsreporting out of Bangkok, Thail and, by NewsRx editors, research stated, “Forest fires in Thailand are arecurri ng and formidable challenge, inflicting widespread damage and ranking among the nation’s mostdevastating natural disasters. Most detection methods are labor-in tensive, lack speed for early detection,or result in high infrastructure costs. ”